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MOOC
This course looks at how increasing greenhouse gases are warming the climate and what it means to decarbonise - reduce the greenhouse gas intensity of - the power sector. It will also provide a range of arguments in favour of decarbonisation, including consideration of ease of access to a secure and affordable energy supply and improvements to health and the environment. This course gathers together information about these different motivating factors for building a lower carbon power sector in one place, and includes a careful consideration of the importance of the political context. This course will challenge you to critically analyse your own political context. We would welcome advisors to senior decision makers in government, civil society activists and others interested in understanding and promoting renewable electricity to take this course. This course will help you develop a better understanding of the different dimensions of a move towards a cleaner power sector and develop more nuanced and detailed arguments.
- Subjects:
- Environmental Engineering and Environmental Policy and Planning
- Keywords:
- Renewable energy sources Energy policy Greenhouse gases -- Prevention Climatic changes
- Resource Type:
- MOOC
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MOOC
Autonomous vehicles, such as self-driving cars, rely critically on an accurate perception of their environment. In this course, we will teach you the fundamentals of multi-object tracking for automotive systems. Key components include the description and understanding of common sensors and motion models, principles underlying filters that can handle varying number of objects, and a selection of the main multi-object tracking (MOT) filters. The course builds and expands on concepts and ideas introduced in CHM013x: ""Sensor fusion and nonlinear filtering for automotive systems"". In particular, we study how to localize an unknown number of objects, which implies various interesting challenges. We focus on cameras, laser scanners and radar sensors, which are all commonly used in vehicles, and emphasize on situations where we seek to track nearby pedestrians and vehicles. Still, most of the involved methods are more general and can be used for surveillance or to track, e.g., biological cells, sports athletes or space debris. The course contains a series of videos, quizzes and hands-on assignments where you get to implement several of the most important algorithms. Learn from award-winning and passionate teachers to enhanceyour knowledge at the forefront of research on self-driving vehicles. Chalmers is among the top engineering schools that distinguish itself through its close collaboration with industry.
- Subjects:
- Electrical Engineering, Mechanical Engineering, and Transportation
- Keywords:
- Automobiles -- Design construction Computer vision Automated vehicles
- Resource Type:
- MOOC
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MOOC
In the past few decades, China's cities have experienced a period of rapid development. Great changes have taken place in both urban space and urban life. With the booming of information and communications technology (ICT), ‘Big data’ such as mobile phone signaling, public transportation smart card records and ‘open data’ from commercial websites and government websites jointly promote the formation of the ‘new data environment’, thus providing a novel perspective for a better understanding of what changes have happened or are happening in China’s cities. This course combines both the new data generated for urban analysis and its research applications. The content ranges from big data acquisition, analysis, visualization and applications in the context of China’s urbanization and its city planning, to urban modeling methods and typical models, as well as the emerging trend and potential revolution of big data in urban planning. We have categorized the overall content of this online course into five sections, namely, overview, data, data processing, application, and perspective. The section of overview introduces cities in transition and describe the changing of urban space and urban life in China. The second section lists some commonly used open data and big data in the ‘new data environment’. Then, methods for data acquisition, cleaning and analysis are illustrated in data processing section. To better explain the data analysis method, the fourth part introduces several Chinese research cases to illustrate the application of these methods in urban research. Last but not least, the last section is the most future-oriented one, which is composed of some methodologies and proposals such as Data Augmented Design (DAD) and Big Model. This course, which shares experiences on big data analysis and its research application, will suit those concerning contemporary urbanizing China and its urban planning in the context of information and communication technologies.
- Subjects:
- Building Services Engineering and Building and Real Estate
- Keywords:
- China Cities towns -- Data processing City planning Big data
- Resource Type:
- MOOC
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MOOC
This course teaches the R programming language in the context of statistical data and statistical analysis in the life sciences. We will learn the basics of statistical inference in order to understand and compute p-values and confidence intervals, all while analyzing data with R code. We provide R programming examples in a way that will help make the connection between concepts and implementation. Problem sets requiring R programming will be used to test understanding and ability to implement basic data analyses. We will use visualization techniques to explore new data sets and determine the most appropriate approach. We will describe robust statistical techniques as alternatives when data do not fit assumptions required by the standard approaches. By using R scripts to analyze data, you will learn the basics of conducting reproducible research. Given the diversity in educational background of our students we have divided the course materials into seven parts. You can take the entire series or individual courses that interest you. If you are a statistician you should consider skipping the first two or three courses, similarly, if you are biologists you should consider skipping some of the introductory biology lectures. Note that the statistics and programming aspects of the class ramp up in difficulty relatively quickly across the first three courses. We start with simple calculations and descriptive statistics. By the third course will be teaching advanced statistical concepts such as hierarchical models and by the fourth advanced software engineering skills, such as parallel computing and reproducible research concepts.
- Subjects:
- Statistics and Research Methods and Mathematics and Statistics
- Keywords:
- Life sciences -- Statistical methods Mathematical statistics -- Data processing R (Computer program language)
- Resource Type:
- MOOC
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MOOC
This course provides the tools needed to build a low-carbon power sector around the world. By diving into the perspective of different players in the power sector - from investors through to utilities, regulators and project developers - you will be able to choose the right strategies, policies and other levers needed to incentivise a cleaner power mix in your own context. This course explores the mix of approaches that can create a pro-renewables environment. It explores this from a policy, regulatory and supply-chain perspective and examines the incentives and rules available. Key policies are brought to life through case studies, learning from both success and failure. Key messages of the course include: - Ambitions for renewable electricity must be grounded in technical and financial feasibility - Pro-renewables environments recognise the needs of energy supply chain actors (e.g. project developers, utilities, regulators, electricity customers) and balances pricing, fiscal and financial and wider policies to incentivise and drive deployment - There are multiple ways to encourage deployment of renewables across different scales – these have strengths and weaknesses and must balance rate of deployment, affordability and efficiency of generation - Incentives and rules are a package and can be aligned to deliver affordable, efficient renewable electricity - several real-world examples demonstrate this - Different countries have succeeded and failed in creating pro-renewables environments – demonstrating that while lessons can be used from these experiences, there is no single route to success and the environment must be bespoke to the circumstances of the country. This course should help decision makers across the electricity supply chain, in both the public and private sector, understand what mix of incentives is ideal from their perspective.
- Subjects:
- Environmental Engineering, Building Services Engineering, and Environmental Policy and Planning
- Keywords:
- Electric power distribution -- Environmental aspects Renewable energy sources
- Resource Type:
- MOOC
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MOOC
Wind turbines and solar panels are likely to play a critical role in achieving a low-carbon power sector that helps address climate change and local pollution, resulting from fossil fuel power generation. Because wind and solar power output is weather-dependent, it is variable in nature and somewhat more uncertain than output from conventional fossil fuel generators. It is therefore important to consider how to manage high penetrations of solar and wind so as to maintain electricity system reliability. This introductory course, delivered by Ieading academics from Imperial College London, with technical input and contributions from the National Energy Renewable Lab (Golden, Colorado), will discuss what challenges variable output renewables pose to the achievability of a reliable, stable electricity system, how these challenges can be addressed and at what costs. Its overall objective is to demonstrate that there is already a range of established technologies, policies and operating procedures to achieve a flexible, stable, reliable electricity system with a high penetration of renewables such as wind and solar. The course uses a variety of country and context-specific examples to demonstrate the concepts. Policy makers, regulators, grid operators and investors in renewable electricity will benefit from a solid understanding of these considerations, thereby helping them drive forward the development of a fit-for-purpose clean power system in their own regional context.
- Subjects:
- Environmental Engineering and Building Services Engineering
- Keywords:
- Electric power production Renewable energy sources Electric power distribution
- Resource Type:
- MOOC
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MOOC
Why are hybrid vehicles still more common than battery electric ones? Why are electric vehicles still more expensive than conventional or hybrid ones? In this course, you will get the answers to this and much more. While electric motors can improve vehicles regarding performance, energy consumption and emissions, they suffer from high cost and weight of batteries. Smart combinations of electric motors and combustion engines in a hybrid powertrain can combine these strengths with the advantages of combustion engines. This course is aimed at learners with a bachelor's degree or engineers in the automotive industry who need to develop their knowledge about hybridpowertrains. Inthis course, we willexamine different mechanical layouts of hybrid powertrains and how they influence the performance and complexity of the powertrain. Different sizing of powertrains in micro, mild, full hybrids, as well as plug-in hybrids, is also discussed and you'll learn how they can be modelled and analyzed for example by simulation of driving cycles. You will also learn about the Energy Management system and how this controls the hybrid powertrain modes and when to charge and discharge the battery. As a result of support from MathWorks, students will be granted access to MATLAB/Simulink for the duration of the course.
- Subjects:
- Electrical Engineering, Mechanical Engineering, and Transportation
- Keywords:
- Electric vehicles Hybrid electric vehicles
- Resource Type:
- MOOC
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MOOC
In this course, we will introduce you to the fundamentals of sensor fusion for automotive systems. Key concepts involve Bayesian statistics and how to recursively estimate parameters of interest using a range of different sensors. The course is designed for students who seek to gain a solid understanding of Bayesian statistics and how to use it to fuse information from different sensors. We emphasize object positioning problems, but the studied techniques are applicable much more generally. The course contains a series of videos, quizzes and hand-on assignments where you get to implement many of the key techniques and build your own sensor fusion toolbox. The course is self-contained, but we highly recommend that you also take the course ChM015x: Multi-target Tracking for Automotive Systems. Together, these courses give you an excellent foundation to tackle advanced problems related to perceiving the traffic situation around an autonomous vehicle using observations from a variety of different sensors, such as, radar, lidar and camera.
- Subjects:
- Electrical Engineering, Mechanical Engineering, and Transportation
- Keywords:
- Automobiles -- Electronic equipment Automotive sensors
- Resource Type:
- MOOC
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MOOC
The building industry is exploding with data sources that impact the energy performance of the built environment and health and well-being of occupants. Spreadsheets just don’t cut it anymore as the sole analytics tool for professionals in this field. Participating in mainstream data science courses might provide skills such as programming and statistics, however the applied context to buildings is missing, which is the most important part for beginners. This course focuses on the development of data science skills for professionals specifically in the built environment sector. It targets architects, engineers, construction and facilities managers with little or no previous programming experience. An introduction to data science skills is given in the context of the building life cycle phases. Participants will use large, open data sets from the design, construction, and operations of buildings to learn and practice data science techniques. Essentially this course is designed to add new tools and skills to supplement spreadsheets. Major technical topics include data loading, processing, visualization, and basic machine learning using the Python programming language, the Pandas data analytics and sci-kit learn machine learning libraries, and the web-based Colaboratory environment. In addition, the course will provide numerous learning paths for various built environment-related tasks to facilitate further growth.
- Keywords:
- City planning -- Statistical methods Python (Computer program language) Information visualization
- Resource Type:
- MOOC
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MOOC
Humanity faces an immense challenge: providing abundant energy to everyone without wrecking the planet. If we want a high-energy future while protecting the natural world for our children, we must consider the environmental consequences of energy production and use. But money matters too: energy solutions that ignore economic costs are not realistic, particularly in a world where billions of people currently can’t afford access to basic energy services. How can we proceed? Energy Within Environmental Constraints won’t give you the answer. Instead, we will teach you how to ask the right questions and estimate the consequences of different choices. This course is rich in details of real devices and light on theory. You won’t find any electrodynamics here, but you will find enough about modern commercial solar panels to estimate if they would be profitable to install in a given location. We emphasizes costs: the cascade of capital and operating costs from energy extraction all the way through end uses. We also emphasize quantitative comparisons and tradeoffs: how much more expensive is electricity from solar panels than from coal plants, and how much pollution does it prevent? Is solar power as cost-effective an environmental investment as nuclear power or energy efficiency? And how do we include considerations other than cost? This course is intended for a diverse audience. Whether you are a student, an activist, a policymaker, a business owner, or a concerned citizen, this course will help you start to think carefully about our current energy system and how we can improve its environmental performance.
- Subjects:
- Environmental Engineering, Building Services Engineering, and Building and Real Estate
- Keywords:
- Environmental protection Environmental management Renewable energy sources Power resources
- Resource Type:
- MOOC
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MOOC
Cities are built site by site. Site planning has been taught in urban planning, landscape architecture and architecture programs for over a century and continues to be a foundation course for those who aspire to plan the built environment. It is a required subject on licensing and certification programs for each of these disciplines. Mastering the art of site planning requires substantive knowledge, well-honed design skills, and familiarity with examples and prototypes of site organization. This course provides the perspectives of leading academics and practitioners on the important issues in preparing site plans. It offers a foundation of knowledge, and the opportunity to apply what is learned in preparing a site plan.
- Subjects:
- Environmental Engineering, Building Services Engineering, and Building and Real Estate
- Keywords:
- Building sites -- Planning
- Resource Type:
- MOOC
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MOOC
Too often modern cities and suburbs are disorganized places where most new development makes daily life less pleasant, creates more traffic congestion, and contributes to climate change. This trend has to change; and our course is going to show you how. Ecodesign means integrating planning, urban design and the conservation of natural systems to produce a sustainable built and natural environment. Ecodesign can be implemented through normal business practices and the kinds of capital programs and regulations already in use in most communities. We will show you how ecodesign has already been used for exceptional projects in many cities and suburbs—from Hammarby Sjöstad in Stockholm to False Creek North in Vancouver to Battery Park City in Manhattan, as well as many smaller-scale examples that can be adopted in any community. Cities and suburbs built according to ecodesign principles can and should become normal, instead of just a few special examples, transforming urban development into desirable, lower-carbon, compact and walkable communities and business centers. As this course describes specific solutions to the vexing urban challenges we all face, course participants can see how these ideas might be applied in their own area. Participants will learn the conceptual framework of ecodesign, see many real, successful examples, and come to understand the tools, processes, and techniques for policy development and implementation. Ecodesign thinking is relevant to anyone who has a part in shaping or influencing the future of cities and suburbs – citizens, students, designers, public officials, and politicians. At the conclusion of the course participants will have the tools and strategies necessary to advocate policies and projects for a neighbourhood or urban district using the ecodesign framework.
- Subjects:
- Environmental Engineering, Building Services Engineering, and Building and Real Estate
- Keywords:
- Cities towns -- Growth City planning -- Environmental aspects Regional planning
- Resource Type:
- MOOC
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MOOC
Electric powertrains are estimated to propel a large part of road vehicles in the future, due to their high efficiency and zero tailpipe emissions. But, the cost and weight of batteries and the time to charge them are arguments for the conventional powertrain in many vehicles. This makes it important for engineers working with vehicles to understand how both these powertrains work, and how to determine their performance and energy consumption for different type of vehicles and different ways of driving vehicles. This course is aimed at learners with a bachelor's degree or engineers in the automotive industry who need to develop their knowledge about electric powertrains. In this course, you will learn how electric and conventional combustion engine powertrains are built and how they work. You will learn methods to calculate their performance and energy consumption and how to simulate them in different driving cycles. You will also learn about the basic function, the main limits and the losses of: Combustion engines, Transmissions Electric machines, Power electronics Batteries. This knowledge will also be a base for understanding and analysing different types of hybrid vehicles, discussed in the course, Hybrid Vehicles. As a result of support from MathWorks, students will be granted access to MATLAB/Simulink for the duration of the course.
- Subjects:
- Electrical Engineering, Mechanical Engineering, and Transportation
- Keywords:
- Electric vehicles Automobiles -- Power trains
- Resource Type:
- MOOC
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MOOC
Meeting growing global energy demand, while mitigating climate change and environmental impacts, requires a large-scale transition to clean, sustainable energy systems. Students and professionals around the world must prepare for careers in this future energy landscape, gaining relevant skills and knowledge to expedite the transformation in industry, government and nongovernmental organizations, academia, and nonprofits. The building sector represents a large percentage of overall energy consumption, and contributes 40% of the carbon emissions driving climate change. Yet buildings also offer opportunities for substantial, economical energy efficiency gains. From retrofit projects to new construction, buildings require a context-specific design process that integrates efficiency strategies and technologies. In this course, you'll be introduced to a range of technologies and analysis techniques for designing comfortable, resource-efficient buildings. The primary focus of this course is the study of the thermal and luminous behavior of buildings. You'll examine the basic scientific principles underlying these phenomena, and use computer-aided design software and climate data to explore the role light and energy can play in shaping architecture. These efficiency design elements are critical to the larger challenge of producing energy for a growing population while reducing carbon emissions.
- Subjects:
- Environmental Engineering, Building Services Engineering, and Building and Real Estate
- Keywords:
- Buildings -- Energy conservation Sustainable architecture Sustainable buildings -- Design construction
- Resource Type:
- MOOC
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MOOC
How can we strengthen sustainability? By empowering individuals and communities to transform and balance dynamic natural resources, economic prosperity, and healthy populations. In this course, you’ll explore productive and disruptive social, ecological, and economic intersections – the “triple bottom line.” You’ll investigate a spectrum of global, national, regional, municipal and personal relationships that are increasing resiliency. Most importantly, you’ll learn how to effectively locate your interests, and to leverage optimistic change within emerging 21st century urban environments. This course will describe fundamental paradigm shifts that are shaping sustainability. These include connectivity, diversity, citizen engagement, collaboration source tracing, mapping, transportation, and integrative, regenerative design. We will take examples from cities around the globe; making particular use of the complex evolution of site-specific conditions within the Connecticut River watershed. In addition we will present tools and strategies that can be utilized by individuals, communities, and corporations to orchestrate effective and collective change. Each week, lessons will highlight the significance of clean water as a key indication of ecosystem, community and human health. Learners will be asked to investigate and share information about their local environment. Finally, we will note the impact of such disruptive forces as industrial pollution, changing governance, privatization of public services, mining of natural resources, public awareness, and climate change. A fundamental course goal will be to characterize indicators of economic prosperity and happiness that relate to environmental sustainability – and the capacity of individuals to create change.
- Subjects:
- Environmental Engineering, Building Services Engineering, and Building and Real Estate
- Keywords:
- Urban ecology (Sociology) Sustainable development
- Resource Type:
- MOOC
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MOOC
In autonomous vehicles such as self-driving cars, we find a number of interesting and challenging decision-making problems. Starting from the autonomous driving of a single vehicle, to the coordination among multiple vehicles. This course will teach you the fundamental mathematical model for many of these real-world problems. Key topics include Markov decision process, reinforcement learning and event-based methods as well as the modelling and solving of decision-making for autonomous systems. This course is aimed at learners with a bachelor's degree or engineers in the automotive industry who need to develop their knowledge in decision-making models for autonomous systems. Enhance your decision-making skills in automotive engineering by learning from Chalmers, one of the top engineering schools that distinguished through its close collaboration with industry.
- Subjects:
- Electrical Engineering, Mechanical Engineering, and Transportation
- Keywords:
- Decision making Automobiles -- Design construction Automated vehicles
- Resource Type:
- MOOC
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MOOC
In this engineering course you will learn how to analyze bridges from three perspectives: Efficiency = calculations of forces/stresses Economy = evaluation of societal context and cost Elegance = form/appearance based on engineering principles, not decoration With a focus on some significant bridges built since the industrial revolution, the course illustrates how engineering is a creative discipline and can become art. We also show the influence of the economic and social context in bridge design and the interplay between forces and form.
- Subjects:
- Structural Engineering
- Keywords:
- Structural analysis (Engineering) Bridges -- Design construction
- Resource Type:
- MOOC
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MOOC
Many natural and man-made structures can be modeled as assemblages of interconnected structural elements loaded along their axis (bars), in torsion (shafts) and in bending (beams). In this course you will learn to use equations for static equilibrium, geometric compatibility and constitutive material response to analyze structural assemblages. This course provides an introduction to behavior in which the shape of the structure is permanently changed by loading the material beyond its elastic limit (plasticity), and behavior in which the structural response changes over time (viscoelasticity). This is the second course in a 3-part series. In this series you will learn how mechanical engineers can use analytical methods and “back of the envelope” calculations to predict structural behavior. The three courses in the series are: Part 1 – 2.01x: Elements of Structures. (Elastic response of Structural Elements: Bars, Shafts, Beams). Fall Term Part 2 – 2.02.1x Mechanics of Deformable Structures: Part 1. (Assemblages of Elastic, Elastic-Plastic, and Viscoelastic Bars in axial loading). Spring Term Part 3 – 2.02.2x Mechanics of Deformable Structures: Part 2. (Assemblages of bars, shafts, and beams. Multi-axial Loading and Deformation. Energy Methods). Summer Term
- Subjects:
- Mechanical Engineering
- Keywords:
- Strength of materials Deformations (Mechanics)
- Resource Type:
- MOOC
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MOOC
In this engineering course you will learn how to analyze vaults (long-span roofs) from three perspectives: 1. Efficiency = calculations of forces/stresses 2. Economy = evaluation of societal context and cost 3. Elegance = form/appearance based on engineering principles, not decoration We explore iconic vaults like the Pantheon, but our main focus is on contemporary vaults built after the industrial revolution. The vaults we examine are made of different materials, such as tile, reinforced concrete, steel and glass, and were created by masterful engineers/builders like Rafael Guastavino, Anton Tedesko, Pier Luigi Nervi, Eduardo Torroja, Félix Candela, and Heinz Isler. This course illustrates: - how engineering is a creative discipline and can become art - the influence of the economic and social context in vault design - the interplay between forces and form The course has been created for a general audience—no advanced math or engineering prerequisites are needed. This is the second of three courses on the Art of Structural Engineering, each of which are independent of each other. The course on bridges was launched in 2016, and another course will be developed on buildings/towers.
- Subjects:
- Structural Engineering
- Keywords:
- Roofs Suspension -- Design construction Structural analysis (Engineering)
- Resource Type:
- MOOC
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MOOC
Virtual reality is changing the way we interact with the world. But how does it work, what hardware is involved, and how is software written for it? In this course, part of the Virtual Reality Professional Certificate program, we will explore the foundations of user-friendly virtual reality app development for consumers, as well as enterprise solutions. Both hardware and software aspects will be discussed. You will learn to evaluate devices necessary for virtual reality applications, what their differences are, how you write interactive applications for virtual reality, and we will discuss the most frequent problems you are going to need to solve to write virtual reality software. In this course, you will explore the basics of virtual reality software through copying and modifying JavaScript to explore tradeoffs in VR application design. Extensive programming experience is not required. By the end of this course, you will understand what is important for successful virtual reality software and learn how to write simple virtual reality programs themselves with WebVR. This course is taught by an instructor with almost two decades of experience in virtual reality who leads the Immersive Visualization Laboratory at UC San Diego.
- Subjects:
- Interactive and Digital Media and Computing
- Keywords:
- Computer simulation Virtual reality Human-computer interaction
- Resource Type:
- MOOC
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MOOC
In this course, participants will explore research-informed, effective practices for online teaching and learning. By enrolling, you will learn practical ways to quickly move into teaching online, guided by top scholars and practitioners in the field. Each module, you will watch videos and read articles by online learning experts and participate in activities and discussions covering critical topics that will make the online environment a rich learning experience for your students. The instructors will synthesize relevant resources to help those who are new to online learning and those who have experience, but want to expand their skills and provide support for others. You will have the opportunity to ask questions, share practices that have worked well in online learning environments, and receive feedback on your teaching and learning plans. Given recent global developments related to COVID-19, many have rapidly shifted to move teaching online. For those who have not taught online before, this can be a challenging experience. Fortunately, there is a rich research base, dating back over sixty years, that provides insight and guidance on the key factors that enable successful learning online. This course will support the pivot to online learning by exploring the scientific literature as well as practical actions that enable online success and equitable outcomes for all learners. While the target audience of the course is postsecondary institutions, this course will be of use to anyone moving into online teaching and learning.
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MOOC
In this course, you will explore several key issues that educators need to understand about teaching and learning in the digital age. We will look at how online learning is different from traditional methods of learning, examine how the digital practices of young people are continually changing, and explore some key considerations that need to be addressed while designing learning environments that are engaging and student-centered. We will investigate the ways in which education is evolving and, in turn, how the roles of teachers are changing in the digital world. We will review the history of online learning, and some key characteristics of successful online learning spaces. We will learn about digital literacies and how online reading and writing is different from paper-based reading and writing, and what implications this has for schooling. Finally, we will look at some key design considerations that educators need to be mindful of while working toward deeper engagement and meaningful learning experiences. This course is part of the Virtual Online Teaching (VOLT) program at the University of Pennsylvania’s Graduate School of Education. The VOLT program seeks to equip educators with the skills and knowledge necessary to meet the needs of the 21st century learner.
- Keywords:
- Web-based instruction Blended learning Distance education -- Computer-assisted instruction
- Resource Type:
- MOOC
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MOOC
Education is in a state of flux – transitioning from traditional architectures and practices to new ecologies of teaching and learning influenced by the tremendous social and technological changes of our times. What changes are afoot today in workplaces, civic life and everyday community life? What are their implications for education? What are the possible impacts of contemporary social transformations on teaching and learning - including in the areas of technology, media, globalization, diversity, changing forms of work in the “knowledge society”, and, in these contexts, changing learner needs and sensibilities? This course explores three pedagogical paradigms: “didactic”, “authentic” and “transformative” learning. It takes an historical perspective in order to define the contemporary dimensions of what we term “new learning”. It prepares participants to make purposeful choices and link particular theories/instructional approaches to individual and group learning goals.
- Keywords:
- Education -- Study teaching Educational change Learning
- Resource Type:
- MOOC
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MOOC
Are you an educator? Have you ever wanted to understand more about how to design your class to make better use of educational technology – whether fully online or in blended contexts? Would you like to learn from those who have extensive practical experience with online technologies? The Learning to Teach Online (LTTO) MOOC will help you develop a working understanding of successful online teaching strategies that you can apply in your own practice. The course is based upon the multi award winning open educational resource developed by Dr Simon McIntyre and Karin Watson. Integrating online technologies into your teaching can be a challenging prospect, and it can be difficult to know how to approach it effectively for the benefit of both students and yourself. No one knows your own content and teaching strengths better than you, and the “one size fits all” formula doesn’t always suit everyone. No matter what type of technology you are interested in exploring or your level of experience, this course will help you draw on your teaching strengths and find the approach that is right for you, your students and your educational context. This course will guide you through your journey of understanding how online technologies can enhance your course design. You will have the opportunity to develop your understanding of effective online teaching practices and their relationship to the use of different technologies. You will also be encouraged to progressively design and reflect upon your own online learning activity, assessment or resource for use in your own class if you choose to undertake the course assignments.
- Keywords:
- Web-based instruction Distance education Computer-assisted instruction
- Resource Type:
- MOOC
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MOOC
In this course you will learn about a wide variety of Web 2.0 tools to use in your teaching and learning. Web 2.0 tools provide innovative ways to communicate, present content, and collaborate with others in creative ways. Web 2.0 tools are easy to learn, use, and implement, and many are free. This course will not only introduce you to popular Web 2.0 tools like Edmodo, Twitter, Voicethread, and Skype in K-16 instruction, but you will also learn how to effectively integrate these technologies into your classroom practices and create engaging student activities.
- Keywords:
- Internet in education Computer-assisted instruction Educational technology Educational innovations
- Resource Type:
- MOOC
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MOOC
For three decades and longer we have heard educators and technologists making a case for the transformative power of technology in learning. However, despite the rhetoric, in many ways and at most institutional sites, education is still relatively untouched by technology. Even when technologies are introduced, the changes sometimes seem insignificant and the results seem disappointing. If the print textbook is replaced by an e-book, do the social relations of knowledge and learning necessarily change at all or for the better? If the pen-and-paper test is mechanized, does this change the nature of our assessment systems? Technology, in other words, need not necessarily bring significant change. Technology might not even represent a step forward in education. But what might be new? How can we use technologies to innovate in education? This course explores seven affordances of e-learning ecologies, which open up genuine possibilities for what we call New Learning – transformative, 21st century learning: 1. Ubiquitous Learning 2. Active Knowledge Making 3. Multimodal Meaning 4. Recursive Feedback 5. Collaborative Intelligence 6. Metacognition 7. Differentiated Learning These affordances, if recognized and harnessed, will prepare learners for success in a world that is increasingly dominated by digital information flows and tools for communication in the workplace, public spaces, and personal life. This course offers a wide variety of examples of learning technologies and technology implementations that, to varying degrees, demonstrate these affordances in action.
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MOOC
This self-paced online course encourages extensive reading and helps students improve their reading and overall English skills. It has activities on different English books ranging from 59 Seconds to Animal Farm. There are also materials on the READ@PolyU 2017 book, The Perks of Being a Wallflower, the READ@PolyU 2018 book, Fifteen Dogs, and the READ@PolyU 2019 book, Persepolis. Created by the English Language Centre of the Hong Kong Polytechnic University.
- Subjects:
- English Language
- Keywords:
- English language -- Reading
- Resource Type:
- MOOC
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MOOC
This course provides an introduction to the foundational activities related to design thinking: a flexible, yet systematic process to define and solve problems. A common misconception is that design thinking requires artistry, but it is not centered on artistic principles. Design thinking is a strategy and mindset that can be applied to any industry to solve problems.
- Subjects:
- Design Elements
- Keywords:
- Design -- Methodology Problem solving Industrial design
- Resource Type:
- MOOC
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MOOC
When you immerse yourself in the context of the user, you can uncover pain points and find opportunities for improvement or innovation not always evident to your audience. In this course, part of the Design Thinking MicroMasters program, you will learn how to use simple research methodologies including active listening to understand your target audience and uncover their obvious or latent needs. Emphasis will be placed on observation and interviewing as key methods to gain empathy for the user's experience and viewpoint. Equipped with this understanding, you will be prepared to identify and define more accurately the business problem. You will also review case studies and discuss strategies to foster productive client-stakeholder relationships, including user personification, context understanding, and empathy idea mapping (ideas that resonate with your target audience).
- Subjects:
- Design Elements
- Keywords:
- Design -- Methodology Problem solving Industrial design
- Resource Type:
- MOOC
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MOOC
Creating prototypes puts a proposed solution into action. In this course, you will learn the value of prototypes and user testing as critical components of the design thinking process. You will examine case studies to understand the iterative process of prototyping and discover how new products and ideas can emerge as a result. As part of the Design Thinking MicroMasters program, you will study how to analyze and implement the results of user testing to ensure your solution can fully benefit from this inclusive and innovative process. Best practices for evaluating solutions will also be covered, including surveys, user evaluations, focus groups and interviews.
- Subjects:
- Design Elements
- Keywords:
- Design -- Methodology Industrial design
- Resource Type:
- MOOC
-
MOOC
Modern video games are incredibly complex multimedia productions involving still and motion graphics, code, audio, interface elements, narrative elements and much more. In this course, you will learn how and where all these pieces come from, who's in charge of each piece and the different stages of the game design process. We will also show you how everything is brought together to create a final product.
- Subjects:
- Interactive and Digital Media and Computing
- Keywords:
- Video games
- Resource Type:
- MOOC
-
MOOC
Game designers work with a wide range of asset creators, programmers, producers, and others to bring a video game from concept to product. In this course, you will learn about the different types of teams a game designer is a member of, both large and small.
- Subjects:
- Interactive and Digital Media and Computing
- Keywords:
- Video games -- Design
- Resource Type:
- MOOC
-
MOOC
Video games as a medium go back more than 50 years to mainframe computers. Even the central design of video games can be traced back to the first games themselves. To be a good game designer, it's essential to have an understanding of the video game design industry's fascinating history. We've partnered with The Strong National Museum of Play to give you a unique look into the history of all things video game. The International Center for the History of Electronic Games at The Strong is the largest and most comprehensive public assemblage of video games and related materials in the world. The staff are celebrated experts in the field and the ICHEG is visited by scholars of video games from around the world. You'll gain amazing insight into the history of video games with a guided exploration of key artifacts from the collection of more than 100,000 electronic games and materials.
- Subjects:
- Interactive and Digital Media and Computing
- Keywords:
- Video games -- Design History
- Resource Type:
- MOOC
-
MOOC
This course covers a wide variety of topics in machine learning and statistical modeling. While mathematical methods and theoretical aspects will be covered, the primary goal is to provide students with the tools and principles needed to solve the data science problems found in practice. This course also serves as a foundation on which more specialized courses and further independent study can build. This course was designed as part of the core curriculum for the Center for Data Science's Masters degree in Data Science. Other interested students who satisfy the prerequisites are welcome to take the class as well. Note that class is intended as a continuation of DS-GA-1001 Intro to Data Science, which covers some important, fundamental data science topics that may not be explicitly covered in this DS-GA class (e.g. data cleaning, cross-validation, and sampling bias).
- Course related:
- LGT6801 Guided Study in Logistics I
- Subjects:
- Computing and Mathematics and Statistics
- Keywords:
- Big data Data mining Machine learning Mathematical statistics -- Data processing
- Resource Type:
- MOOC
-
MOOC
Based on advice from accomplished professionals in the business, HR and academic field, we have created a course that helps you build a solid foundation to succeed in job interviews and get that ultimate call. This course will change the way you prepare for and perform in job interviews. By the end of this course, you will have learned how to: ☛ achieve interview success in six steps ☛ find out how YOU can be an independent learner and become a life-long learner ☛ stand out from the crowd using four strategies ☛ avoid common mistakes About This Course
- Course related:
- ELC3222 Workplace English for Business Students II, CBS4842 Introduction to Literary Translation, and ELC3221 Workplace English for Business Students I
- Keywords:
- Applications for positions Employment interviewing
- Resource Type:
- MOOC
-
MOOC
This is CS50x , Harvard University's introduction to the intellectual enterprises of computer science and the art of programming for majors and non-majors alike, with or without prior programming experience. An entry-level course taught by David J. Malan, CS50x teaches students how to think algorithmically and solve problems efficiently. Topics include abstraction, algorithms, data structures, encapsulation, resource management, security, software engineering, and web development. Languages include C, Python, SQL, and JavaScript plus CSS and HTML. Problem sets inspired by real-world domains of biology, cryptography, finance, forensics, and gaming. The on-campus version of CS50x , CS50, is Harvard's largest course.
- Course related:
- COMP1011 Programming Fundamentals
- Subjects:
- Computing
- Keywords:
- Computer programming Computer science
- Resource Type:
- MOOC
-
MOOC
Machine learning is the science of getting computers to act without being explicitly programmed. In the past decade, machine learning has given us self-driving cars, practical speech recognition, effective web search, and a vastly improved understanding of the human genome. Machine learning is so pervasive today that you probably use it dozens of times a day without knowing it. Many researchers also think it is the best way to make progress towards human-level AI. In this class, you will learn about the most effective machine learning techniques, and gain practice implementing them and getting them to work for yourself. More importantly, you'll learn about not only the theoretical underpinnings of learning, but also gain the practical know-how needed to quickly and powerfully apply these techniques to new problems. Finally, you'll learn about some of Silicon Valley's best practices in innovation as it pertains to machine learning and AI. This course provides a broad introduction to machine learning, datamining, and statistical pattern recognition. Topics include: (i) Supervised learning (parametric/non-parametric algorithms, support vector machines, kernels, neural networks). (ii) Unsupervised learning (clustering, dimensionality reduction, recommender systems, deep learning). (iii) Best practices in machine learning (bias/variance theory; innovation process in machine learning and AI). The course will also draw from numerous case studies and applications, so that you'll also learn how to apply learning algorithms to building smart robots (perception, control), text understanding (web search, anti-spam), computer vision, medical informatics, audio, database mining, and other areas.
- Course related:
- EIE6207 Theoretical Fundamental and Engineering Approaches for Intelligent Signal and. Information Processing and COMP4434 Big Data Analytics
- Subjects:
- Computing
- Keywords:
- Artificial intelligence Machine learning
- Resource Type:
- MOOC
-
MOOC
If you want to break into AI, this Specialization will help you do so. Deep Learning is one of the most highly sought after skills in tech. We will help you become good at Deep Learning. In five courses, you will learn the foundations of Deep Learning, understand how to build neural networks, and learn how to lead successful machine learning projects. You will learn about Convolutional networks, RNNs, LSTM, Adam, Dropout, BatchNorm, Xavier/He initialization, and more. You will work on case studies from healthcare, autonomous driving, sign language reading, music generation, and natural language processing. You will master not only the theory, but also see how it is applied in industry. You will practice all these ideas in Python and in TensorFlow, which we will teach. You will also hear from many top leaders in Deep Learning, who will share with you their personal stories and give you career advice. AI is transforming multiple industries. After finishing this specialization, you will likely find creative ways to apply it to your work. We will help you master Deep Learning, understand how to apply it, and build a career in AI.
- Course related:
- AMA564 Deep Learning
- Subjects:
- Computing
- Keywords:
- Machine learning Neural networks (Computer science) Artificial intelligence
- Resource Type:
- MOOC
-
MOOC
Everyday across the world, thousands of businesses are victimized by fraud. Who commits these bad acts? Why? And, how? In this course we are going to help you answer the questions: who commits fraud, why and how. We’ll also help you develop skills for catching them.
- Subjects:
- Accounting
- Keywords:
- Fraud -- Prevention Forensic accounting Fraud
- Resource Type:
- MOOC
-
MOOC
Master the building blocks of financial trading and investment over the course of 4 weeks. You will learn to trade with confidence by focusing on both the technical and fundamental aspects of trading/investment with our help and support throughout. You will learn what is required in order to successfully trade stocks, currency and commodity markets.
- Course related:
- AF3316 Investments
- Subjects:
- Finance
- Keywords:
- Securities -- Prices Investments Stocks Investment analysis
- Resource Type:
- MOOC
-
MOOC
The Elements of AI is a series of free online courses created by Reaktor and the University of Helsinki. We want to encourage as broad a group of people as possible to learn what AI is, what can (and can’t) be done with AI, and how to start creating AI methods. The courses combine theory with practical exercises and can be completed at your own pace.
- Course related:
- COMP4431 Artificial Intelligence
- Subjects:
- Computing
- Keywords:
- Artificial intelligence Machine learning
- Resource Type:
- MOOC
-
MOOC
Data science has critical applications across most industries, and is one of the most in-demand careers in computer science. Data scientists are the detectives of the big data era, responsible for unearthing valuable data insights through analysis of massive datasets. And just like a detective is responsible for finding clues, interpreting them, and ultimately arguing their case in court, the field of data science encompasses the entire data life cycle. That starts with capturing lots of raw data using data collection techniques, and then building and maintaining data pipelines and data warehouses that efficiently “clean” the data and make it accessible for analysis at scale. This data infrastructure allows data scientists to efficiently process datasets using data mining and data modeling skills, as well as analyze these outputs with sophisticated techniques like predictive analysis and qualitative analysis. Finally, these findings must be presented using data visualization and data reporting skills to help business decision makers. Depending on the size of the company, data scientists may be responsible for this entire data life cycle, or they might specialize in a particular portion of the life cycle as part of a larger data science team
- Subjects:
- Computing
- Keywords:
- Machine learning Data mining Big data
- Resource Type:
- MOOC
-
MOOC
These free online courses are also known as MOOCs (massive open online courses). MOOCs are short courses that are usually run free of charge by major learning providers to expand your knowledge of a particular academic topic or to help you develop a specific skill. They are free to take part in and are open to everyone regardless of age, education level and location.
- Course related:
- RS2270 Rehabilitation Psychology, RS3410 Enabling Occupation: Musculoskeletal Rehabilitation, and RS3310 A: Clinical Sciences in Psychiatric Conditions
- Subjects:
- Health Sciences, Nursing, and Rehabilitation Sciences
- Keywords:
- Developmental disabilities Psychology Health
- Resource Type:
- MOOC
-
MOOC
After completed this online course, you will be able to: (1) read the blockchain-related news easily; (2) explain 99% of blockchain vocabulary in one minute and (3) to publish the exclusive cryptocurrency on the blockchain within one click.
- Course related:
- APSS3225 Media and Society
- Subjects:
- Computing
- Keywords:
- Cryptocurrencies Blockchains (Databases)
- Resource Type:
- MOOC
-
MOOC
In this anatomy course, part of the Anatomy XSeries, you will be introduced to the central and peripheral nervous systems. You will learn about basic neuroanatomy, sensory pathways, motor pathways and the autonomic nervous system. The course includes illustrated lecture videos and quizzes to help you expand and test your knowledge of the nervous system. By the end of this course, you will have a better understanding of how the entire body influences, and is influenced, by the nervous system.
- Course related:
- RS3030 Clinical Neurology & Neuroscience
- Subjects:
- Health Sciences
- Keywords:
- Nervous system Neuroanatomy
- Resource Type:
- MOOC
-
MOOC
An introduction to the systematic study of human cognition, emotion, and behavior with an emphasis on the scientific method. Fundamentals of behavior, learning, conditioning, development, cognitive processes, perception, emotion, personality, and psychopathology are among the content areas studied. Particular emphasis is placed on the use of the scientific method for the study of human nature. Students successfully completing the course will demonstrate a general understanding of the knowledge established in these areas, as well as the methods used by psychologists to acquire that knowledge.
- Course related:
- RS2020 Foundation Psychology for Rehabilitation Professionals
- Subjects:
- Health Sciences
- Keywords:
- Psychology
- Resource Type:
- MOOC
-
MOOC
In this course, you will walk away with finding the goal of operating IG: increase brand exposure, accumulate fanfare, and increase conversion traffic; learn more about IG content marketing strategy and create exclusive eye-catching content; and learn to spot the insight reports and advanced data to optimize IG operations.
- Course related:
- MM2B05 Introduction to Marketing and HTM2324 Marketing in Hospitality Tourism and Events in Digital Age
- Subjects:
- Marketing
- Keywords:
- Marketing Internet marketing
- Resource Type:
- MOOC
-
MOOC
This course is credit eligible through Doane University's Open Learning Academy. The Open Learning Academy's 3-4 credit hour courses are designed to provide learners with foundational coursework for undergraduate level programs. It is strongly encouraged that you consult with your institution of choice to determine how these credits will be applied to their degree requirements prior to transferring the credit. Medicine has a very distinct and highly specialized language. It is necessary for any student wishing to pursue a successful career in the medical field to acquire comprehension in this system of communication, including Allied Healthcare professionals. Learners will receive thorough instruction in developing fluency with medical terms. Medical vocabulary will be taught with specific emphasis on root (or stem words), prefixes, suffixes and abbreviations. By the end of this course learners will be expected to have a basic comprehension of medical terms and be able to communicate accurately to their peers in the field. Terms associated with anatomy, physiology, pathology and diagnostic tests of different systems are discussed but no previous knowledge of these topics is necessary.
- Course related:
- SN3490 Nursing Therapeutics I
- Keywords:
- Medicine -- Terminology
- Resource Type:
- MOOC
-
MOOC
Are you a current or future caregiver, or, a nurse or other healthcare professional who wants to learn more about Alzheimer’s disease? Here are the key content areas that will be addressed over 5 modules: Over 5 million Americans and an estimated 24 million people worldwide are living with Alzheimer’s disease (AD). Given the exponential aging of the population, these numbers are expected to increase dramatically over the next few decades; Alzheimer’s disease is an irreversible, progressive brain disorder that slowly destroys memory and thinking skills and, eventually, the ability to carry out the simplest tasks. It is the most common cause of dementia among older adults and has both genetic and environmental factors in its development; AD is characterized by a variety of cognitive symptoms, including short-term memory loss, problems with problem-solving, judgment and recognition. There are also changes in mood and neuropsychiatric symptoms such as depression, hallucinations and paranoia. Behavioral expressions, include irritability, agitation, resistance to care, and wandering. In the later stages, the person is dependent in all activities of daily living and requires total care; There is no known cause, effective treatment or cure, but there are currently two classes of medications approved to enhance cognitive function, as well as, lifestyle-based preventive strategies thought to possibly reduce risk; There are evidence-based therapeutic approaches and communication strategies to enhance interactions and optimally, prevent behavioral expressions; The key principles of care for the hospitalized person with Alzheimer’s disease are examined, including the importance of therapeutic communication strategies to prevent behavioral expressions and other complications such as delirium and falls; Lastly, the essential role of the dementia caregiver is discussed, including potential consequences, stresses and gratifications, as well as the resources available.
- Course related:
- SN402 Gerontological Nursing
- Subjects:
- Nursing
- Keywords:
- Dementia -- Patients -- Care Dementia -- Nursing Alzheimer's disease Dementia
- Resource Type:
- MOOC
-
MOOC
Solving the problems and challenges within the U.S. healthcare system requires a deep understanding of how the system works. Successful solutions and strategies must take into account the realities of the current system. This course explores the fundamentals of the U.S. healthcare system. It will introduce the principal institutions and participants in healthcare systems, explain what they do, and discuss the interactions between them. The course will cover physician practices, hospitals, pharmaceuticals, and insurance and financing arrangements. We will also discuss the challenges of healthcare cost management, quality of care, and access to care. While the course focuses on the U.S. healthcare system, we will also refer to healthcare systems in other developed countries.The Stanford University School of Medicine is accredited by the Accreditation Council for Continuing Medical Education (ACCME) to provide continuing medical education for physicians. Visit the FAQs below for important information regarding 1) Date of original release and Termination or expiration date; 2) Accreditation and Credit Designation statements; 3) Disclosure of financial relationships for every person in control of activity content. In this MOOC, you will learn the major challenges of the U.S.healthcare system, Issues you may encounter in efforts to improve healthcare delivery and the healthcare system, and the key stakeholders are in the U.S. healthcare system.
- Course related:
- HSS1010 Freshman Seminar for Broad Discipline in Health Science
- Subjects:
- Management of Health Care Services
- Keywords:
- Medical care United States
- Resource Type:
- MOOC
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